View source: R/define_penalty.R
define_lasso | R Documentation |
Helper function to define a lasso penalty regularization object.
See define_penalty
for more details.
define_lasso(
num_penalty = 20,
penalty_ratio = NULL,
user_penalty = NULL,
custom_multiplier = NULL
)
num_penalty |
number of penalty values to fit in grid. Default is 20. |
penalty_ratio |
ratio between minimum and maximum penalty for x.
Default is 1e-04 if |
user_penalty |
user-defined vector of penalty values to use in penalty path. |
custom_multiplier |
variable-specific penalty multipliers to apply to overall penalty. Default is 1 for all variables. 0 is no penalization. |
A list object with regularization settings that are used to define
the regularization
for predictors or external data in xrnet
and
tune_xrnet
. The list
elements will match those returned by define_penalty
,
but with the penalty_type automatically set to 1.
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